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Optimal learning and new technology bubbles

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  • Johnson, Timothy C.

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  • Johnson, Timothy C., 2007. "Optimal learning and new technology bubbles," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2486-2511, November.
    • Handle: RePEc:eee:moneco:v:54:y:2007:i:8:p:2486-2511
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    Cited by:

    1. In Chang Hwang & Richard S.J. Tol & Marjan W. Hofkes, 2013. "Active Learning about Climate Change," Working Paper Series 6513, Department of Economics, University of Sussex Business School.
    2. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
    3. Michael Johannes & Lars Lochstoer & Pierre Collin-Dufresne, 2015. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," 2015 Meeting Papers 647, Society for Economic Dynamics.
    4. Lubos Pastor & Pietro Veronesi, 2009. "Learning in Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 361-381, November.
    5. Andrei, Daniel & Carlin, Bruce I., 2023. "Schumpeterian competition in a Lucas economy," Journal of Economic Theory, Elsevier, vol. 208(C).
    6. Sirio Aramonte, 2015. "Innovation, investor sentiment, and firm-level experimentation," Finance and Economics Discussion Series 2015-67, Board of Governors of the Federal Reserve System (U.S.).
    7. Ivan Rudik & Derek Lemoine & Maxwell Rosenthal, 2018. "General Bayesian Learning in Dynamic Stochastic Models: Estimating the Value of Science Policy," 2018 Meeting Papers 369, Society for Economic Dynamics.
    8. Xiaodong Du & Dermot J. Hayes & Cindy L. Yu, 2010. "Dynamics of Biofuel Stock Prices: A Bayesian Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 418-425.
    9. Kim, Yongjin & Kuehn, Lars-Alexander & Li, Kai, 2024. "Learning about the consumption risk exposure of firms," Journal of Financial Economics, Elsevier, vol. 152(C).
    10. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2013. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," NBER Working Papers 19705, National Bureau of Economic Research, Inc.
    11. Barbosa, António, 2019. "Optimal Learning, Overvaluation and Overinvestment," MPRA Paper 97411, University Library of Munich, Germany.
    12. Po‐Hsuan Hsu & Huijun Wang & Wei Yang, 2022. "General Purpose Technologies as Systematic Risk in Global Stock Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1141-1173, August.
    13. In Chang Hwang, 2016. "Active learning and optimal climate policy," EcoMod2016 9611, EcoMod.
    14. Zhiguo He & Si Li & Bin Wei & Jianfeng Yu, 2014. "Uncertainty, Risk, and Incentives: Theory and Evidence," Management Science, INFORMS, vol. 60(1), pages 206-226, January.
    15. Mykola Babiak & Roman Kozhan, 2021. "Growth Uncertainty, Rational Learning, and Option Prices," CERGE-EI Working Papers wp682, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    16. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2016. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," American Economic Review, American Economic Association, vol. 106(3), pages 664-698, March.
    17. Daniel Andrei & Bruce I. Carlin, 2017. "Asset Pricing in the Quest for the New El Dorado," NBER Working Papers 23455, National Bureau of Economic Research, Inc.
    18. Tinn, K & Vourvachaki, E, 2012. "Can overpricing of technology stocks be good for welfare? Positive spillovers vs. equity market losses," Working Papers 12192, Imperial College, London, Imperial College Business School.
    19. Fu, Wentao & Le Riche, Antoine, 2021. "Endogenous growth model with Bayesian learning and technology selection," Mathematical Social Sciences, Elsevier, vol. 114(C), pages 58-71.
    20. Kevin J. Lansing, 2008. "Speculative growth and overreaction to technology shocks," Working Paper Series 2008-08, Federal Reserve Bank of San Francisco.
    21. Sirio Aramonte & Matthew Carl, 2021. "Firm-level R&D after periods of intense technological innovation: the role of investor sentiment," BIS Working Papers 916, Bank for International Settlements.

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